Strange behavior of Series/TimeSeries with datetime index

[soramame0518]

I had a trouble with Series and TimeSeries using datetime index. Here is an example:

In [1]: from pandas import *

In [2]: t = [datetime(2012, 2, 7, 0, 0, 0), datetime(2012, 2, 7, 23, 0, 0)]

In [3]: s = Series([0, 1], index=t)

In [4]: print s
2012-02-07 0
2012-02-07 00:00:00 1

The first index value should be '2012-02-07 00:00:00', and the second should be '2012-02-07 23:00:00' Am I doing wrong?

[adamklein]

Confirmed, it looks like an output or formatting error. It also looks like the data should be ok.

In [5]: t
Out[5]: [datetime.datetime(2012, 2, 7, 0, 0), datetime.datetime(2012, 2, 7, 23, 0)]

In [6]: s = Series([0,1], index=t)

In [7]: s
Out[7]: 
2012-02-07             0
2012-02-07 00:00:00    1

In [9]: s.index
Out[9]: Index([2012-02-07 00:00:00, 2012-02-07 23:00:00], dtype=object)

In [10]: s.index[0]
Out[10]: datetime.datetime(2012, 2, 7, 0, 0)

In [11]: s.index[1]
Out[11]: datetime.datetime(2012, 2, 7, 23, 0)

[soramame0518]

Thanks for your comment!

[wesm]

thanks for reporting, fixed the underlying issue, now looks like

In [1]: t = [datetime(2012, 2, 7, 0, 0, 0), datetime(2012, 2, 7, 23, 0, 0)]

In [2]: 

In [2]: s = Series([0, 1], index=t)

In [3]: s
Out[3]: 
2012-02-07 00:00:00    0
2012-02-07 23:00:00    1

[soramame0518]

Thanks a lot!